Data Engineer Lead

Data Engineer LeadJob Location: Markham, CA Duration: ContractResponsibility:Design, build, and operationalize large-scale enterprise data solutions in Hadoop, Postgres, and Snowflake. Demonstrate outstanding understanding of AWS cloud services especially in the data engineering and analytics space. Analyze, rearchitect, and replatform on-premises big data platforms. Craft and develop solution designs for data acquisition/ingestion of multifaceted data sets, internal/external data integrations, and data warehouse/marts. Collaborate with business partners, product owners, functional specialists, business analysts, IT architecture, and developers to develop solution designs adhering to architecture standards. Ensure solutions adhere to enterprise data governance and design standards. Act as a point of contact to resolve architectural, technical, and solution-related challenges from delivery teams for best efficiency. Design and develop ETL pipelines to ingest data into Hadoop from different data sources (Files, Mainframe, Relational Sources, NoSQL, etc.) using Informatica BDM. Advocate the importance of data catalogs, data governance, and data quality practices. Exhibit outstanding problem-solving skills. Work in an Agile delivery framework to evolve data models and solution designs to deliver value incrementally. Be a self-starter with experience working in a fast-paced agile development environment. Provide strong mentoring and coaching, leading by example for junior team members. Be outcome-focused with strong decision-making and critical thinking skills to challenge the status quo, impacting delivery pace and performance, and striving for efficiency.What You'll Bring:Education: Bachelor's in computer engineering or computer science. Experience: Over 8 years of experience in designing solutions for data lakes, data integrations, and data warehouse/marts. Technical Skills: Proficient with data technologies and tools such as Hadoop, PostgreSQL, and Informatica ETL. Expertise: Experience with various execution modules in BDM including Spark, Hive, and Native. Extensive knowledge and experience in ETL using the Informatica product suite. Cloud Data Lake Design: Familiarity with cloud data lake design, preferably using AWS technologies like S3, EMR, Redshift, and Data Catalog. Data Governance: Proven experience in implementing data governance principles and practices. Reporting/Analytics Tools: Understanding of tools such as QlikSense, SAP Business Objects, SAS, and Dataiku. Agile Methodology: Familiar with Agile software development practices. Communication Skills: Excellent verbal and written communication abilities. Insurance Knowledge: Experience with Claim Center and Guidewire will be an asset with the ability to understand complex business processes driving technical systems.